Yang‐Yi Chen

1.3k citations
33 papers · 623 indexed · h-index 11

Impact in

Papers in

Yang‐Yi Chen

26 papers receiving 601 citations

Peers

Yang‐Yi Chen
Comparison fields: 5 of 102
  • Artificial Intelligence 167
  • Pediatrics, Perinatology and Child Health 98
  • Cancer Research 65
  • Information Systems 95
  • Signal Processing 38
Replace Noha A. Yousri with:
Noha A. Yousri Egypt
Hoa N. Nguyen Vietnam
Yiqun Hui United States
Jianwei Fei China
Jianfeng Yang China
Hüseyin Demirci Türkiye
Balasubramanian Krishnamurthy Australia
Rong Fan China
Kwanghoon Choi South Korea
Jordana C. Bloom United States
Yang‐Yi Chen relative to Noha A. Yousri Egypt Noha A. Yousri's profile →
Citations per field
00.5×4.1×
Noha A. Yousri · 1×
Citations per year

Countries citing papers authored by Yang‐Yi Chen

Since Specialization
Citations

This map shows the geographic impact of Yang‐Yi Chen's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Yang‐Yi Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yang‐Yi Chen more than expected).

Fields of papers citing papers by Yang‐Yi Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yang‐Yi Chen. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Yang‐Yi Chen. The network helps show where Yang‐Yi Chen may publish in the future.

Co-authors

The 25 scholars most cited alongside Yang‐Yi Chen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Yang‐Yi Chen Line = papers co-authored together Yang‐Yi Chen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012108
2 2011103
3 201497
4 200762
5 202159
6 201348
7 201420
8 201917
9 200415
10 199014
11 202213
12 20199
13 20239
14 20208
15 20228
16 20197
17 20236
18 20195
19 20234
20 20233

About Yang‐Yi Chen

Yang‐Yi Chen is a scholar working on Dermatology, Neurology, Genetics, Internal Medicine and Physiology, having authored 33 papers that have together received 623 indexed citations. Recurring topics across this work include Prenatal Screening and Diagnostics (3 papers), Skin Protection and Aging (2 papers), Adversarial Robustness in Machine Learning (2 papers), Immunotherapy and Immune Responses (2 papers), melanin and skin pigmentation (2 papers), Hemoglobinopathies and Related Disorders (2 papers), Skin and Cellular Biology Research (2 papers) and Neurofibromatosis and Schwannoma Cases (2 papers). The work is most often cited by research in Artificial Intelligence (167 citations), Pediatrics, Perinatology and Child Health (98 citations), Cancer Research (65 citations), Information Systems (95 citations) and Signal Processing (38 citations). Yang‐Yi Chen has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Xiaofeng Wang, Yaoping Ruan, Xiaoyong Zhou, Kehuan Zhang, James B. Wade, P. Richard Grimm, Paul A. Welling, Richard A. Coleman, Tarvinder K. Taneja and Eric Delpire. Their work appears in journals such as Nature Communications, American Journal of Obstetrics and Gynecology, Cancer Biology & Therapy, Wound Repair and Regeneration and Journal of Biological Chemistry.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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